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Intelligent Control and Optimal Energy Supervision for On-Grid Hybrid Renewable Generation with Flywheel Energy Storage Cover

Intelligent Control and Optimal Energy Supervision for On-Grid Hybrid Renewable Generation with Flywheel Energy Storage

Open Access
|Dec 2025

Figures & Tables

Fig. 1.

The architecture of the proposed OG-HRG. OG-HRG, on-grid hybrid renewable generation.
The architecture of the proposed OG-HRG. OG-HRG, on-grid hybrid renewable generation.

Fig. 2.

The control strategy of the OG-HRG. OG-HRG, on-grid hybrid renewable generation; PMSG, permanent magnet synchronous generator; PVG, photovoltaic generator; RFOC, rotor field oriented control; SMC, sliding mode control.
The control strategy of the OG-HRG. OG-HRG, on-grid hybrid renewable generation; PMSG, permanent magnet synchronous generator; PVG, photovoltaic generator; RFOC, rotor field oriented control; SMC, sliding mode control.

Fig. 3.

The configuration of the FLC-based MPPT.
The configuration of the FLC-based MPPT.

Fig. 4.

Structure of the FLC-based MPPT controller.
Structure of the FLC-based MPPT controller.

Fig. 5.

The control scheme for the inertia-driven energy storage unit. PMSG, permanent magnet synchronous generator.
The control scheme for the inertia-driven energy storage unit. PMSG, permanent magnet synchronous generator.

Fig. 6.

The FESS operating modes. FESS, flywheel energy storage system; PMSG, permanent magnet synchronous generator.
The FESS operating modes. FESS, flywheel energy storage system; PMSG, permanent magnet synchronous generator.

Fig. 7.

The architecture of the SMC controller. SMC, sliding mode control.
The architecture of the SMC controller. SMC, sliding mode control.

Fig. 8.

The EMS of the OG-HRG. EMS, energy management system; OG-HRG, on-grid hybrid renewable generation.
The EMS of the OG-HRG. EMS, energy management system; OG-HRG, on-grid hybrid renewable generation.

Fig. 9.

The flowchart of the EMS of the OG-HRG. EMS, energy management system; OG-HRG, on-grid hybrid renewable generation.
The flowchart of the EMS of the OG-HRG. EMS, energy management system; OG-HRG, on-grid hybrid renewable generation.

Fig. 10.

The wind profile.
The wind profile.

Fig. 11.

The powers supplied/absorbed by the subsystems for the different operating modes.
The powers supplied/absorbed by the subsystems for the different operating modes.

Fig. 12.

The variation of currents on the DC bus side.
The variation of currents on the DC bus side.

Fig. 13.

The variation of voltage on the DC bus side.
The variation of voltage on the DC bus side.

Fig. 14.

The DC-bus voltage waveform.
The DC-bus voltage waveform.

Fig. 15.

The PV, Flywheel and inverter current waveforms. PV, photovoltaic.
The PV, Flywheel and inverter current waveforms. PV, photovoltaic.

Fig. 16.

Profile of the active (a) and reactive (b) power injected into the grid.
Profile of the active (a) and reactive (b) power injected into the grid.

Fig. 17.

The power waveforms.
The power waveforms.

Fig. 18.

The direct and quadrature components of the currents and voltages Id (a), Iq (b), Vd (c) and Vq (d), (simulated and reference) waveforms.
The direct and quadrature components of the currents and voltages Id (a), Iq (b), Vd (c) and Vq (d), (simulated and reference) waveforms.

Fig. 19.

The load voltage and (30×) load current waveforms.
The load voltage and (30×) load current waveforms.

Comparison with other studies_

Paper referenceEnergy source and storagePerformance summary
Our paperGrid-connected PV/wind/flywheelThis system features a multi-layered control approach that combines FLC, PID control and SMC into a unified EMS.
Reference Lata-García et al. (2024)Stand-alone PV/biomass/diesel/batteryThe system consists of a 22 kW solar PV generator, a 1.5 kW biomass generator and a 12 kW diesel generator. Additionally, the battery bank includes 58 units, each with a capacity of 111 Ah, and the dispatch strategy employed is load tracking.
Reference Younsi et al. (2023)Grid-connected wind/flywheelThis control system includes primary and secondary controllers. The primary stage uses a droop controller to optimise power flow in the resistive network, while the secondary stage employs an improved method to manage voltage and frequency fluctuations during signal disturbances.

The power balance for each operating mode_

Operating modeM3.1M3.2M3.1M5.1M5.2M4M5.1
Time (s)13.5–1414–14.514.5–1515–15.515.5–1616–16.516.5–17
PL(W)9602,7509609603,9600960

The power flow operating modes_

No.Operating modeKeys stateEnergy movementPower balance



K1K2K3ERENEGELEFCompositionSystem state
1M10000000Maintenance– – – – – – – – – –
2M20110<0>00Grid-loadPG = PL
3M3.1010<0->0>0PV + WT—Fl—L (disconnected mode)Storage: PREN = PL + PF
4M3.2101<0->0<0PV + WT—Fl—LDischarge: PREN = PLPF
5M4110<0000PV + WT—gridDirect injection to grid PREN = PG
6M5.1111<0>0>00PV + WT—grid-loadPREN > PL
PREN = PG + PL
7M5.2111<0<000PV + WT—grid-loadPREN < PL
PREN = PLPG
DOI: https://doi.org/10.2478/pead-2025-0027 | Journal eISSN: 2543-4292 | Journal ISSN: 2451-0262
Language: English
Page range: 467 - 486
Submitted on: Aug 6, 2025
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Accepted on: Oct 21, 2025
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Published on: Dec 31, 2025
In partnership with: Paradigm Publishing Services
Publication frequency: 1 issue per year

© 2025 Rym Marouani, Marwen Zaafouri, Nejib Hamrouni, Adnane Cherif, published by Wroclaw University of Science and Technology
This work is licensed under the Creative Commons Attribution 4.0 License.